RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Benchmark Model Rank Results
real-time-instance-segmentation-on-mscocoRTMDet-Ins-x#1mask AP: 44.6AP50: 67.4AP75: 47.8APS: 22.2APL: 65.5…
real-time-instance-segmentation-on-mscocoRTMDet-Ins-l#2mask AP: 43.7AP50: 66AP75: 47.0APS: 20.8APM: 48.0APL: 64.8…
real-time-instance-segmentation-on-mscocoRTMDet-Ins-m#3mask AP: 42.1AP50: 63.9AP75: 45.1APS: 19.3APM: 46.4APL: 63.1…
real-time-instance-segmentation-on-mscocoRTMDet-Ins-s#17AP50: 59.3AP75: 41.3APS: 15.1APM: 42.3APL: 60.3…
object-detection-in-aerial-images-on-hrsc2016RTMDet-R-tiny#6mAP-07: 90.6mAP-12: 97.10
real-time-object-detection-on-coco-val2017RTMDet-x#54box AP: 52.8FPS (batch 1, GPU in brackets): 323 (RTX 3090)
real-time-object-detection-on-coco-val2017RTMDet-l#71box AP: 51.5FPS (batch 1, GPU in brackets): 417 (RTX 3090)
real-time-object-detection-on-coco-val2017RTMDet-m#91box AP: 49.4FPS (batch 1, GPU in brackets): 617 (RTX 3090)
real-time-object-detection-on-coco-val2017RTMDet-s#119box AP: 44.6FPS (batch 1, GPU in brackets): 820 (RTX 3090)
real-time-object-detection-on-coco-val2017RTMDet-tiny#134box AP: 41.1FPS (batch 1, GPU in brackets): 1020 (RTX 3090)